Evidence map›Paper›PMID 42907742›Full record

ArticleBMC medical imaging2026

Impact of reduced scan extent on tumor detection in

Falk Gühne, Alexander Küppers, Christian Kühnel, Philipp Seifert, Martin Freesmeyer

Abstract read
In one paragraph

Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Falk GühneUniversity Hospital Jena, Clinic of Nuclear Medicine, Am Klinikum 1, 07747, Jena, Germany.
Alexander KüppersUniversity Hospital Jena, Clinic of Nuclear Medicine, Am Klinikum 1, 07747, Jena, Germany.
Christian KühnelUniversity Hospital Jena, Clinic of Nuclear Medicine, Am Klinikum 1, 07747, Jena, Germany.
Philipp SeifertUniversity Hospital Jena, Clinic of Nuclear Medicine, Am Klinikum 1, 07747, Jena, Germany.
Martin FreesmeyerUniversity Hospital Jena, Clinic of Nuclear Medicine, Am Klinikum 1, 07747, Jena, Germany. martin.freesmeyer@med.uni-jena.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPSMA PET/CT plays an important role in biochemically recurrent prostate cancer (BCR-PCa). In general, PET/CT is performed as a limited or true whole-body examination. The majority of PET/CT scanners operate by measuring several bed positions or continuous motion with a limited axial field of view (FOV). Shortening the scan area thus results in a time saving, with unknown information loss regarding the detection of tumor manifestations. METHODOLOGY: This retrospective single-center study included 200 patients with BCR-PCa after initial curative therapy who underwent a

resultsOf 200 patients with a median PSA of 1.1 ng/mL, 128 (64%) showed at least one structural correlate of BCR-PCa in the true whole-body scan. The overall detection rate did not change for limited classic PET-protocols, or CAP measurements. CAP scans would not have detected all tumor manifestations in 16 patients (8%) and not all tumor-affected organ systems in six patients (3%), AP scans in 41 patients (21%) and 18 patients (9%), pelvic scans in 61 patients (31%) and 37 patients (19%), respectively. PSA may contribute to the prospective restriction of the scan area. Patients with PSA ≤ 0.75 ng/mL showed no diagnostic gain from whole-body imaging. This means that in 45% of patients in our cohort, a limitation to CAP scan would have been possible without losing information.

conclusionsFor a resource-saving use of routine PSMA-PET/CT, a scan from the vertex to the mid-thigh seems sufficient for detecting relevant metastases. For patients with low PSA levels, a more focused protocol that includes only the CAP region can be considered.

Indexed as

Neoplasm Recurrence, LocalPositron Emission Tomography Computed TomographyProstatic NeoplasmsAgedAged, 80 and overEdetic AcidGallium IsotopesGallium RadioisotopesHumansMaleMiddle AgedOligopeptidesProstate-Specific AntigenRadiopharmaceuticalsRetrospective StudiesWhole Body ImagingEdetic Acidgallium 68 PSMA-11Gallium IsotopesGallium RadioisotopesOligopeptidesProstate-Specific AntigenRadiopharmaceuticalsBiochemical recurrenceEfficiencyProstate cancerPSMA-PET/CTScan protocols

Identifiers

PMID42907742
PMCPMC13685216

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.